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  1. e. An intelligence quotient ( IQ) is a total score derived from a set of standardised tests or subtests designed to assess human intelligence. [1] The abbreviation "IQ" was coined by the psychologist William Stern for the German term Intelligenzquotient, his term for a scoring method for intelligence tests at University of Breslau he advocated ...

  2. It is known as Kuo 2-Chün 1 (Chinese: 國軍; Hanyu Pinyin: Guójūn; Tongyong Pinyin: Guójyūn, literally "National Army"). [ citation needed ] When the ROC was in power in mainland China , its army was the National Revolutionary Army before being renamed as the Republic of China Armed Forces in 1947 due to the implementation of the Constitution of the Republic of China . [5]

    • 18
    • Definitions
    • Interpretation
    • Extensions
    • Comparison with Norm of Residuals
    • History
    • See Also
    • Further Reading

    A data set has n values marked y1,...,yn (collectively known as yi or as a vector y = [y1,...,yn]T), each associated with a fitted (or modeled, or predicted) value f1,...,fn (known as fi, or sometimes ŷi, as a vector f). Define the residuals as ei = yi − fi (forming a vector e). If y ¯ {\\displaystyle {\\bar {y}}} is the mean of the observed data: 1....

    R2 is a measure of the goodness of fit of a model. In regression, the R2 coefficient of determination is a statistical measure of how well the regression predictions approximate the real data points. An R2of 1 indicates that the regression predictions perfectly fit the data. Values of R2 outside the range 0 to 1 occur when the model fits the data w...

    Adjusted R2

    The use of an adjusted R2 (one common notation is R ¯ 2 {\\displaystyle {\\bar {R}}^{2}} , pronounced "R bar squared"; another is R a 2 {\\displaystyle R_{\\text{a}}^{2}} or R adj 2 {\\displaystyle R_{\\text{adj}}^{2}} ) is an attempt to account for the phenomenon of the R2 automatically increasing when extra explanatory variables are added to the model. There are many different ways of adjusting. By far the most used one, to the point that it is typically just referred to as adjusted R, is the cor...

    Coefficient of partial determination

    The coefficient of partial determination can be defined as the proportion of variation that cannot be explained in a reduced model, but can be explained by the predictors specified in a full(er) model.This coefficient is used to provide insight into whether or not one or more additional predictors may be useful in a more fully specified regression model. The calculation for the partial R2 is relatively straightforward after estimating two models and generating the ANOVA tables for them. The c...

    Generalizing and decomposing R2

    As explained above, model selection heuristics such as the Adjusted R 2 {\\displaystyle R^{2}} criterion and the F-test examine whether the total R 2 {\\displaystyle R^{2}} sufficiently increases to determine if a new regressor should be added to the model. If a regressor is added to the model that is highly correlated with other regressors which have already been included, then the total R 2 {\\displaystyle R^{2}} will hardly increase, even if the new regressor is of relevance. As a result, the...

    Occasionally, the norm of residuals is used for indicating goodness of fit. This term is calculated as the square-root of the sum of squares of residuals: 1. norm of residuals = S S res = ‖ e ‖ . {\\displaystyle {\\text{norm of residuals}}={\\sqrt {SS_{\\text{res}}}}=\\|e\\|.} Both R2 and the norm of residuals have their relative merits. For least square...

    The creation of the coefficient of determination has been attributed to the geneticist Sewall Wrightand was first published in 1921.

    Nash–Sutcliffe model efficiency coefficient (hydrological applications)
    Gujarati, Damodar N.; Porter, Dawn C. (2009). Basic Econometrics (Fifth ed.). New York: McGraw-Hill/Irwin. pp. 73–78. ISBN 978-0-07-337577-9.
    Hughes, Ann; Grawoig, Dennis (1971). Statistics: A Foundation for Analysis. Reading: Addison-Wesley. pp. 344–348. ISBN 0-201-03021-7.
    Kmenta, Jan (1986). Elements of Econometrics (Second ed.). New York: Macmillan. pp. 240–243. ISBN 978-0-02-365070-3.
    Lewis-Beck, Michael S.; Skalaban, Andrew (1990). "The R-Squared: Some Straight Talk". Political Analysis. 2: 153–171. doi:10.1093/pan/2.1.153. JSTOR 23317769.
  3. Dwight D. Eisenhower. Dwight David Eisenhower ( / ˈaɪzənhaʊ.ər / EYE-zən-how-ər; born David Dwight Eisenhower; October 14, 1890 – March 28, 1969), nicknamed Ike, was an American military officer and statesman who served as the 34th president of the United States from 1953 to 1961. During World War II, he was Supreme Commander of the ...

  4. Douglas MacArthur (26 January 1880 – 5 April 1964) was an American military leader who served as General of the Army for the United States, as well as a field marshal to the Philippine Army.He served with distinction in World War I, was Chief of Staff of the United States Army during the 1930s and played a prominent role in the Pacific theater during World War II.

  5. Emotional intelligence (EI) is defined as the ability to perceive, use, understand, manage, and handle emotions. People with high emotional intelligence can recognize their own emotions and those of others, use emotional information to guide thinking and behavior, discern between different feelings and label them appropriately, and adjust ...

  6. Photo by Ernest Brooks. The total number of military and civilian casualties in World War I was about 40 million: estimates range from around 15 to 22 million deaths [1] and about 23 million wounded military personnel, ranking it among the deadliest conflicts in human history. The total number of deaths includes from 9 to 11 million military ...

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